PySD EMAWorkbench Connector Demo
================================

.. code:: ipython3

    %pylab inline
    import ema_workbench as ema
    import ema_workbench.analysis.plotting as eplt


.. parsed-literal::

    Populating the interactive namespace from numpy and matplotlib


.. parsed-literal::

    /Users/houghton/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
      warnings.warn(self.msg_depr % (key, alt_key))
    /Users/houghton/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py:892: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
      warnings.warn(self.msg_depr % (key, alt_key))


.. code:: ipython3

    model = ema.connectors.PySDConnector(mdl_file='../../models/Climate/Atmospheric_Bathtub.mdl',
                                         uncertainties_dict={'Emissions': (10000, 50000)},
                                         outcomes_list=['Excess Atmospheric Carbon'])
    ensemble = ema.em_framework.ModelEnsemble()  # instantiate an ensemble
    ensemble.model_structure = model  # set the model on the ensemble
    ensemble.parallel = True
    experiments, outcomes = ensemble.perform_experiments(cases=200)

.. code:: ipython3

    from ema_workbench.analysis.plotting_util import KDE
    eplt.lines(results, density=KDE);



.. image:: PySD_EMA_Connector_Demo_files/PySD_EMA_Connector_Demo_3_0.png